Highways16
Several authors
Created: 12-04-2024. Last modified: 28-05-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
# remotes::install_github("davidbolin/ngme2", ref = "devel")
library(INLA)
#inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(ngme2)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
load(here("Graph_objects/graph_construction_19MAY24_FRC0134.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_19MAY24_FRC0134_graph_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)We check the units of the graph.
sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.000000
## 1st Qu.:6592 1st Qu.: 1.609 1st Qu.:2.00 1st Qu.:0.001832
## Median :6712 Median : 17.703 Median :3.00 Median :0.004032
## Mean :7378 Mean : 20.107 Mean :2.55 Mean :0.004937
## 3rd Qu.:8739 3rd Qu.: 30.577 3rd Qu.:4.00 3rd Qu.:0.006952
## Max. :8969 Max. :114.263 Max. :4.00 Max. :0.019993
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:75899 Min. :-122.5
## 1st Qu.: 2347 1st Qu.:0.2586 Class :character 1st Qu.:-122.4
## Median : 4733 Median :0.5133 Mode :character Median :-122.4
## Mean : 4968 Mean :0.5067 Mean :-122.4
## 3rd Qu.: 7639 3rd Qu.:0.7609 3rd Qu.:-122.4
## Max. :11104 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.77
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001000 Min. : 1
## 1st Qu.:6588 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.003133 1st Qu.: 2390
## Median :6702 Median :0 Median :3.000 Median :0.005536 Median : 4646
## Mean :7312 Mean :0 Mean :2.556 Mean :0.006552 Mean : 4912
## 3rd Qu.:8713 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.008880 3rd Qu.: 7550
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :11096
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:15402 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2888 Class :character 1st Qu.:-122.4 1st Qu.:37.74
## Median :0.5322 Mode :character Median :-122.4 Median :37.77
## Mean :0.5156 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7568 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :1.0000 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.00 Min. :1.000 Min. :0.0000000
## 1st Qu.:6589 1st Qu.: 12.87 1st Qu.:2.000 1st Qu.:0.0005897
## Median :6728 Median : 24.14 Median :3.000 Median :0.0012698
## Mean :7485 Mean : 25.98 Mean :2.542 Mean :0.0013554
## 3rd Qu.:8769 3rd Qu.: 35.41 3rd Qu.:4.000 3rd Qu.:0.0020959
## Max. :8969 Max. :114.26 Max. :4.000 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:25843 Min. :-122.5
## 1st Qu.: 2078 1st Qu.:0.2631 Class :character 1st Qu.:-122.5
## Median : 4558 Median :0.5218 Mode :character Median :-122.4
## Mean : 4839 Mean :0.5137 Mean :-122.4
## 3rd Qu.: 7548 3rd Qu.:0.7700 3rd Qu.:-122.4
## Max. :11104 Max. :0.9998 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.76
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81We add data to the graph.
sf_graph$get_data()
## # A tibble: 25,842 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 8969 99.8 1 0.000426 -122. 37.7 2
## 2 6588 91.7 1 0.00206 -122. 37.7 2
## 3 8848 99.8 1 0.00256 -122. 37.7 2
## 4 6677 14.5 1 0.000436 -122. 37.8 3
## 5 6532 16.1 1 0.00226 -122. 37.8 3
## 6 6686 25.7 1 0.000499 -122. 37.8 3
## 7 6570 17.7 1 0.00252 -122. 37.8 5
## 8 6677 29.0 1 0.00222 -122. 37.8 6
## 9 6657 24.1 1 0.00203 -122. 37.8 6
## 10 6576 17.7 1 0.000274 -122. 37.8 6
## # ℹ 25,832 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$get_data()
## # A tibble: 101,616 × 50
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0826 4 40 16th St
## 2 NA NA NA NA 0.0826 4 40 16th St
## 3 NA NA NA NA 0.0826 4 40 16th St
## 4 NA NA NA NA 0.0826 4 40 16th St
## 5 8969 99.8 1 0.000426 0.137 0 105 I-280 N
## 6 6588 91.7 1 0.00206 0.137 0 105 I-280 N
## 7 8848 99.8 1 0.00256 0.137 0 105 I-280 N
## 8 NA NA NA NA 0.137 0 105 I-280 N
## 9 NA NA NA NA 0.137 0 105 I-280 N
## 10 NA NA NA NA 0.137 0 105 I-280 N
## # ℹ 101,606 more rows
## # ℹ 42 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed_19May24.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.00 Min. :-2.0263 Length:25842 Min. : 1
## 1st Qu.: 12.87 1st Qu.:-0.4784 Class :character 1st Qu.: 2078
## Median : 24.14 Median :-0.4784 Mode :character Median : 4558
## Mean : 25.98 Mean : 0.0000 Mean : 4839
## 3rd Qu.: 35.41 3rd Qu.: 0.0844 3rd Qu.: 7548
## Max. :114.26 Max. : 4.0947 Max. :11104
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2631 1st Qu.:-122.5 1st Qu.:37.74
## Median :0.5218 Median :-122.4 Median :37.76
## Mean :0.5137 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7700 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :0.9998 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$get_data()
## # A tibble: 25,842 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 99.8 4.09 -122. 37.7 2 0.195 1
## 2 91.7 4.09 -122. 37.7 2 0.227 1
## 3 99.8 4.09 -122. 37.7 2 0.363 1
## 4 14.5 -1.04 -122. 37.8 3 0.309 1
## 5 16.1 -1.04 -122. 37.8 3 0.583 1
## 6 25.7 -1.04 -122. 37.8 3 0.925 1
## 7 17.7 -1.04 -122. 37.8 5 0.0567 1
## 8 29.0 -1.04 -122. 37.8 6 0.129 1
## 9 24.1 -1.04 -122. 37.8 6 0.612 1
## 10 17.7 -1.04 -122. 37.8 6 0.755 1
## # ℹ 25,832 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999869 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.91072
## 1st Qu.:-0.76409
## Median :-0.34714
## Mean : 0.00000
## 3rd Qu.: 0.06981
## Max. : 2.623661.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu = 0.5)str(rspde_model_stat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 13932
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 13932
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 13932
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ m_alpha : int 1
## .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..$ doubles :List of 4
## .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. ..$ nu : num 0.5
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 1
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:2] 0 1.35
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:2] 0 1.35
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 13932
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 13932
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:25842] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:51684] 0 1 3 8 9 10 11 12 13 14 ...
## .. ..@ p : int [1:55729] 0 0 0 2 2 10 16 16 16 21 ...
## .. ..@ Dim : int [1:2] 25842 55728
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:51684] 0.416 0.319 0.382 0.224 0.509 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr "Intercept"
## $ summary.fixed :'data.frame': 1 obs. of 7 variables:
## ..$ mean : num 32.5
## ..$ sd : num 0.709
## ..$ 0.025quant: num 31.1
## ..$ 0.5quant : num 32.5
## ..$ 0.975quant: num 33.8
## ..$ mode : num 32.5
## ..$ kld : num 2.83e-09
## $ marginals.fixed :List of 1
## ..$ Intercept: num [1:43, 1:2] 29.4 29.8 30.2 30.8 31.1 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -104778 -104777
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0293 0.0317 0.0302 0.0337 0.0319 ...
## $ waic :List of 4
## ..$ waic : num 203115
## ..$ p.eff : num 5382
## ..$ local.waic : num [1:25842] 7.29 7.02 7.21 6.82 6.99 ...
## ..$ local.p.eff: num [1:25842] 0.1135 0.0569 0.1054 0.0187 0.0516 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 0.732 -0.579 0.679 -0.439 -0.573 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 55728 obs. of 8 variables:
## .. ..$ ID : num [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:55728] -10.54 -5.42 58.87 63.53 -20.52 ...
## .. ..$ sd : num [1:55728] 13.92 15.35 8.62 13.55 4.98 ...
## .. ..$ 0.025quant: num [1:55728] -37.8 -35.5 42 36.9 -30.3 ...
## .. ..$ 0.5quant : num [1:55728] -10.54 -5.42 58.87 63.53 -20.52 ...
## .. ..$ 0.975quant: num [1:55728] 16.8 24.7 75.8 90.1 -10.8 ...
## .. ..$ mode : num [1:55728] -10.54 -5.42 58.87 63.53 -20.52 ...
## .. ..$ kld : num [1:55728] 1.60e-11 1.55e-11 3.14e-11 1.17e-11 4.68e-11 ...
## $ marginals.random :List of 1
## ..$ field:List of 55728
## .. ..$ index.1 : num [1:43, 1:2] -70 -62.4 -53.6 -43 -37.8 ...
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## .. ..$ index.3 : num [1:43, 1:2] 22.1 26.8 32.2 38.8 42 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] 5.66 13.04 21.59 31.97 36.95 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ N : num 13932
## .. ..$ Ntotal: num 55728
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## $ summary.linear.predictor :'data.frame': 81571 obs. of 7 variables:
## ..$ mean : num [1:81571] 94.1 94.6 96.1 15.4 18.9 ...
## ..$ sd : num [1:81571] 5.72 5.68 6.51 4.68 5.54 ...
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## ..$ mode : num [1:81571] 94.1 94.6 96.1 15.4 18.9 ...
## ..$ kld : num [1:81571] 4.88e-11 4.83e-11 4.88e-11 4.48e-11 3.97e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 81571 obs. of 6 variables:
## ..$ mean : num [1:81571] 94.1 94.6 96.1 15.4 18.9 ...
## ..$ sd : num [1:81571] 5.72 5.68 6.51 4.68 5.54 ...
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## ..$ mode : num [1:81571] 94.1 94.6 96.1 15.4 18.9 ...
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## ..$ Ntotal: num 81571
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## $ summary.hyperpar :'data.frame': 3 obs. of 6 variables:
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## ..$ sd : num [1:3] 0.000104 0.02717 0.071109
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## $ marginals.hyperpar :List of 3
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## ..$ sd : num [1:3] 0.0122 0.0272 0.0711
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## ..$ mode : num [1:3] -4.7685 3.3403 0.0451
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## $ offset.linear.predictor : num [1:81571] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
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## $ marginals.spde2.blc : NULL
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## $ size.spde3.blc : NULL
## $ logfile : chr [1:594] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:3, 1:3] 1.49e-04 -2.27e-05 -2.41e-04 -2.27e-05 7.38e-04 ...
## ..$ cor.intern : num [1:3, 1:3] 1 -0.0684 -0.2778 -0.0684 1 ...
## ..$ cov.intern.eigenvalues : num [1:3] 0.00009 0.000205 0.005645
## ..$ cov.intern.eigenvectors : num [1:3, 1:3] 0.76 -0.604 0.242 -0.649 -0.728 ...
## ..$ reordering : int [1:55729] 34297 34305 35781 35764 32571 32628 32492 32506 32631 32590 ...
## ..$ theta.tags : chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## ..$ log.posterior.mode : num -104768
## ..$ stdev.corr.negative : num [1:3] 1 0.998 0.979
## ..$ stdev.corr.positive : num [1:3] 1 1 1.02
## ..$ to.theta :List of 3
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ from.theta :List of 3
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## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
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## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 55729
## .. ..$ mnpred : int 81571
## .. ..$ Npred : int 25842
## .. ..$ n : int 55729
## .. ..$ nz : int 135020
## .. ..$ prior_nz : int 116273
## .. ..$ ntheta : int 3
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## .. .. .. ..$ theta : Named num [1:3] -4.7684 3.3402 0.0447
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -3.41
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:55729] -10.55 -5.42 58.87 63.54 -20.52 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.55 -5.42 58.87 63.54 -20.52 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
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## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 193.9 235.8 74.3 183.6 24.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0692 0.034 0.0163 0.0144 0.0179 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04783 -0.02448 0.03085 -0.00792 -0.02401 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.1 94.6 96.1 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.45 -10.55 -5.42 58.87 63.54 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7547 3.3293 0.0491
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:55729] -10.5 -5.4 58.9 63.5 -20.5 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.5 -5.4 58.9 63.5 -20.5 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.071 0.0349 0.0191 0.0148 0.0442 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 189.1 230.1 72.8 179.2 24.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.071 0.0349 0.0167 0.0148 0.0184 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04863 -0.02467 0.03146 -0.00818 -0.02438 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.1 94.6 96.1 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.4 -10.5 -5.4 58.9 63.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7822 3.3511 0.0404
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:55729] -10.57 -5.44 58.88 63.55 -20.55 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.57 -5.44 58.88 63.55 -20.55 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0674 0.0332 0.0182 0.0141 0.0426 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 198.7 241.7 75.9 188.1 25.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0674 0.0332 0.0159 0.0141 0.0175 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04704 -0.02429 0.03026 -0.00766 -0.02365 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.6 96.2 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.46 -10.57 -5.44 58.88 63.55 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7862 3.3203 0.0508
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:55729] -10.41 -5.32 58.83 63.43 -20.34 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.41 -5.32 58.83 63.43 -20.34 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0724 0.0356 0.0194 0.0151 0.0438 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 185.9 226 72.9 176.9 24.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0724 0.0356 0.0171 0.0151 0.0188 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04785 -0.02314 0.03139 -0.00854 -0.02377 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94 94.5 96 15.5 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.43 -10.41 -5.32 58.83 63.43 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7508 3.36 0.0387
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:55729] -10.67 -5.51 58.91 63.65 -20.7 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.67 -5.51 58.91 63.65 -20.7 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0661 0.0325 0.018 0.0138 0.043 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 202.1 246 75.9 190.6 24.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0661 0.0325 0.0156 0.0138 0.0171 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04784 -0.02581 0.03034 -0.00725 -0.02425 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.7 96.3 15.3 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.48 -10.67 -5.51 58.91 63.65 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.775 3.388 0.183
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.44
## .. .. .. ..$ log.posterior.orig: num -1.77
## .. .. .. ..$ mean : num [1:55729] -10.4 -5.2 58.9 63.9 -20.4 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.4 -5.2 58.9 63.9 -20.4 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0722 0.0355 0.0193 0.015 0.044 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 191.5 234.5 72.9 178 24.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0722 0.0355 0.017 0.015 0.0187 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04706 -0.02475 0.03024 -0.00838 -0.02386 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.7 96.2 15.5 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.5 -10.4 -5.2 58.9 63.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7625 3.2947 -0.0877
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.54
## .. .. .. ..$ log.posterior.orig: num -1.87
## .. .. .. ..$ mean : num [1:55729] -10.6 -5.61 58.78 63.09 -20.61 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.6 -5.61 58.78 63.09 -20.61 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0664 0.0327 0.018 0.0139 0.0428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 195 235.3 75.8 188.9 25 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0664 0.0327 0.0157 0.0139 0.0172 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0488 -0.02399 0.03171 -0.00748 -0.02417 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.1 94.5 96.1 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.43 -10.6 -5.61 58.78 63.09 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7627 3.3317 -0.0377
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.44
## .. .. .. ..$ log.posterior.orig: num -1.77
## .. .. .. ..$ mean : num [1:55729] -10.7 -5.6 58.8 63.4 -20.7 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.7 -5.6 58.8 63.4 -20.7 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0648 0.0319 0.0176 0.0135 0.0424 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 202.2 245 77 193.5 25.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0648 0.0319 0.0153 0.0135 0.0168 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04789 -0.02489 0.03066 -0.00713 -0.02402 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.6 96.2 15.3 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.5 -10.7 -5.6 58.8 63.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.77 3.385 0.118
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.43
## .. .. .. ..$ log.posterior.orig: num -1.75
## .. .. .. ..$ mean : num [1:55729] -10.58 -5.37 58.94 63.83 -20.59 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.58 -5.37 58.94 63.83 -20.59 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.068 0.0335 0.0184 0.0142 0.043 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 200.2 244.5 75.2 186.9 25 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.068 0.0335 0.016 0.0142 0.0176 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04691 -0.0253 0.02984 -0.00767 -0.02386 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.7 96.3 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.48 -10.58 -5.37 58.94 63.83 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7832 3.3087 -0.0307
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:55729] -10.53 -5.49 58.8 63.23 -20.49 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.53 -5.49 58.8 63.23 -20.49 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0683 0.0336 0.0184 0.0143 0.0428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 192.7 233.3 75.2 185.3 25 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0683 0.0336 0.0161 0.0143 0.0177 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04791 -0.02334 0.03128 -0.00789 -0.02376 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.1 94.5 96 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.43 -10.53 -5.49 58.8 63.23 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.79 3.362 0.125
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.51
## .. .. .. ..$ log.posterior.orig: num -1.84
## .. .. .. ..$ mean : num [1:55729] -10.42 -5.25 58.9 63.7 -20.38 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.42 -5.25 58.9 63.7 -20.38 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0717 0.0353 0.0192 0.015 0.0435 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 190.7 232.8 73.5 179 24.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0717 0.0353 0.0169 0.015 0.0186 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0469 -0.0238 0.03042 -0.00839 -0.02358 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.1 94.6 96.1 15.5 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.45 -10.42 -5.25 58.9 63.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.7469 3.3191 -0.0327
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.46
## .. .. .. ..$ log.posterior.orig: num -1.79
## .. .. .. ..$ mean : num [1:55729] -10.64 -5.57 58.84 63.36 -20.65 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.64 -5.57 58.84 63.36 -20.65 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0668 0.0329 0.0181 0.0139 0.0433 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 196.6 238.2 75.1 188.1 24.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0668 0.0329 0.0158 0.0139 0.0173 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04882 -0.02512 0.03136 -0.00742 -0.02445 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.6 96.2 15.3 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.45 -10.64 -5.57 58.84 63.36 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.754 3.373 0.124
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:55729] -10.55 -5.34 58.94 63.81 -20.55 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.55 -5.34 58.94 63.81 -20.55 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0701 0.0345 0.0189 0.0146 0.044 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 194.5 237.7 73.4 181.7 24.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0701 0.0345 0.0165 0.0146 0.0182 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -104768
## $ joint.hyper :'data.frame': 15 obs. of 5 variables:
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## ..$ Theta2 for field : num [1:15] 0.0447 0.0491 0.0404 0.0508 0.0387 ...
## ..$ Log posterior density : num [1:15] -104780 -104782 -104782 -104782 -104782 ...
## ..$ Total integration weight (log.dens included): num [1:15] 0.1735 0.0588 0.0593 0.0591 0.0588 ...
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## ..$ family : chr "gaussian"
## ..$ data :List of 16
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## .. ..$ BRU.Ntrials : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
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## Public:
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## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
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## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta4 :List of 11
## .. .. .. ..$ hyperid : num 103004
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta5 :List of 11
## .. .. .. ..$ hyperid : num 103005
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta6 :List of 11
## .. .. .. ..$ hyperid : num 103006
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta7 :List of 11
## .. .. .. ..$ hyperid : num 103007
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta8 :List of 11
## .. .. .. ..$ hyperid : num 103008
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta9 :List of 11
## .. .. .. ..$ hyperid : num 103009
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta10 :List of 11
## .. .. .. ..$ hyperid : num 103010
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta11 :List of 11
## .. .. .. ..$ hyperid : num 103011
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
## .. .. .. ..$ hyperid : num 103012
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
## .. .. .. ..$ hyperid : num 103013
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
## .. .. .. ..$ hyperid : num 103014
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
## .. .. .. ..$ hyperid : num 103015
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
## .. .. .. ..$ hyperid : num 103019
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
## .. .. .. ..$ hyperid : num 103020
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
## .. .. .. ..$ hyperid : num 103021
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
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## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta40"
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## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta43 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. ..$ theta47 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
## .. .. .. ..$ hyperid : num 103051
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
## .. .. .. ..$ hyperid : num 103054
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta56 :List of 11
## .. .. .. ..$ hyperid : num 103056
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta60 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta61 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta62 :List of 11
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## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta63 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta64 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta81 :List of 11
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## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta82 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta84 :List of 11
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## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 13932
## .. .. .. .. ..$ values : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5caa7480c250>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 55728
## .. .. .. .. .. .. ..$ n_inla : num 55728
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 55728 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 55728
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5caa7765e028>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:2] "Intercept" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 2.765689 mins## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 1.14, Running = 50.6, Post = 4.63, Total = 56.4
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 32.453 0.709 31.062 32.452 33.847 32.452 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.008 0.000 0.008 0.008
## Theta1 for field 3.341 0.027 3.288 3.341
## Theta2 for field 0.047 0.071 -0.092 0.047
## 0.975quant mode
## Precision for the Gaussian observations 0.009 0.008
## Theta1 for field 3.395 3.340
## Theta2 for field 0.188 0.045
##
## Deviance Information Criterion (DIC) ...............: 202689.23
## Deviance Information Criterion (DIC, saturated) ....: 31937.66
## Effective number of parameters .....................: 6123.69
##
## Watanabe-Akaike information criterion (WAIC) ...: 203115.32
## Effective number of parameters .................: 5381.58
##
## Marginal log-Likelihood: -104777.20
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 28.25600 0.7635600 26.796300 28.24130 29.79450 28.20550
## range 1.05088 0.0744494 0.913495 1.04775 1.20571 1.040351.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu = 0.5)str(rspde_model_nonstat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 13932
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 13932
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 13932
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. ..$ alpha : int 1
## .. .. ..$ doubles :List of 2
## .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. ..$ theta.prior.mean: num [1:4] 3.34 0.045 0 0
## .. .. ..$ characters:List of 3
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 3
## .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:4] 3.34 0.045 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:4] 3.34 0.045 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 13932
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 13932
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:25842] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:51684] 0 1 3 8 9 10 11 12 13 14 ...
## .. ..@ p : int [1:55729] 0 0 0 2 2 10 16 16 16 21 ...
## .. ..@ Dim : int [1:2] 25842 55728
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:51684] 0.416 0.319 0.382 0.224 0.509 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr "Intercept"
## $ summary.fixed :'data.frame': 1 obs. of 7 variables:
## ..$ mean : num 32.6
## ..$ sd : num 0.696
## ..$ 0.025quant: num 31.2
## ..$ 0.5quant : num 32.6
## ..$ 0.975quant: num 33.9
## ..$ mode : num 32.6
## ..$ kld : num 2.62e-09
## $ marginals.fixed :List of 1
## ..$ Intercept: num [1:43, 1:2] 29.6 30 30.4 31 31.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -104787 -104784
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0298 0.0315 0.0296 0.0337 0.0318 ...
## $ waic :List of 4
## ..$ waic : num 203106
## ..$ p.eff : num 5394
## ..$ local.waic : num [1:25842] 7.23 7.04 7.29 6.82 7.01 ...
## ..$ local.p.eff: num [1:25842] 0.1028 0.0613 0.1251 0.0184 0.0538 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 0.701 -0.592 0.719 -0.438 -0.581 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 55728 obs. of 8 variables:
## .. ..$ ID : num [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:55728] -10.29 -5.23 61.3 65.98 -21.13 ...
## .. ..$ sd : num [1:55728] 13.83 15.28 9.03 14.23 5.07 ...
## .. ..$ 0.025quant: num [1:55728] -37.4 -35.2 43.6 38.1 -31.1 ...
## .. ..$ 0.5quant : num [1:55728] -10.29 -5.23 61.28 65.95 -21.13 ...
## .. ..$ 0.975quant: num [1:55728] 16.8 24.7 79.1 94 -11.2 ...
## .. ..$ mode : num [1:55728] -10.29 -5.23 61.28 65.95 -21.13 ...
## .. ..$ kld : num [1:55728] 9.66e-12 4.21e-12 1.07e-09 7.14e-10 7.25e-11 ...
## $ marginals.random :List of 1
## ..$ field:List of 55728
## .. ..$ index.1 : num [1:43, 1:2] -69.3 -61.8 -53.1 -42.5 -37.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
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## .. ..$ index.3 : num [1:43, 1:2] 23 27.9 33.5 40.4 43.6 ...
## .. .. ..- attr(*, "dimnames")=List of 2
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## .. ..$ index.4 : num [1:43, 1:2] 5.49 13.19 22.11 32.94 38.13 ...
## .. .. ..- attr(*, "dimnames")=List of 2
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## .. ..$ index.5 : num [1:43, 1:2] -42.8 -40 -36.8 -32.9 -31.1 ...
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## .. ..$ index.9 : num [1:43, 1:2] -39.9 -37.1 -33.9 -29.9 -28 ...
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## .. ..$ index.10 : num [1:43, 1:2] -45.1 -42.5 -39.4 -35.6 -33.8 ...
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## ..$ kld : num [1:81571] 5.74e-11 4.86e-11 5.48e-11 4.45e-11 3.97e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 81571 obs. of 6 variables:
## ..$ mean : num [1:81571] 94.7 94.9 95.3 15.4 19.2 ...
## ..$ sd : num [1:81571] 5.79 5.71 6.48 4.66 5.5 ...
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## ..$ 0.975quant: num [1:81571] 106.1 106 108 24.5 30 ...
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## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
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## ..$ N : num 55729
## ..$ Ntotal: num 81571
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 5 obs. of 6 variables:
## ..$ mean : num [1:5] 0.0085 3.3494 0.0978 -0.0324 -0.0998
## ..$ sd : num [1:5] 0.0001 0.0224 0.0798 0.0468 0.096
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## ..$ mode : num [1:5] 0.00851 3.33461 0.02794 -0.03617 -0.10768
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. ..- attr(*, "hyperid")= chr ""
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## ..$ sd : num [1:5] 0.0118 0.0223 0.0795 0.0468 0.096
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:81571] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:663] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:5, 1:5] 1.48e-04 -5.70e-06 -2.00e-04 -1.31e-05 -2.64e-05 ...
## ..$ cor.intern : num [1:5, 1:5] 1 -0.022 -0.2911 -0.023 -0.0227 ...
## ..$ cov.intern.eigenvalues : num [1:5] 8.96e-05 5.25e-05 1.99e-04 3.49e-03 1.13e-02
## ..$ cov.intern.eigenvectors : num [1:5, 1:5] 0.75427 -0.61158 0.23839 0.00437 -0.01404 ...
## ..$ reordering : int [1:55729] 46120 46137 53555 53614 47113 48747 47168 47198 47140 47135 ...
## ..$ theta.tags : chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ log.posterior.mode : num -104770
## ..$ stdev.corr.negative : num [1:5] 1.077 1 0.967 2.169 0.945
## ..$ stdev.corr.positive : num [1:5] 0.928 1 1.034 0.461 1.058
## ..$ to.theta :List of 5
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## .. ..$ Theta1 for field :function (x)
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## .. ..$ Theta4 for field :function (x)
## ..$ from.theta :List of 5
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## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ mode.status : num 0
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## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 55729
## .. ..$ mnpred : int 81571
## .. ..$ Npred : int 25842
## .. ..$ n : int 55729
## .. ..$ nz : int 135020
## .. ..$ prior_nz : int 116273
## .. ..$ ntheta : int 5
## .. ..$ nconfig : int 27
## .. ..$ offsets : num [1:81571] 0 0 0 0 0 0 0 0 0 0 ...
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## .. .. ..$ tag : chr [1:4] "APredictor" "Predictor" "field" "Intercept"
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## .. .. ..$ length: int [1:4] 25842 55729 55728 1
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## .. .. .. ..@ j : int [1:55729] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. ..@ x : num [1:55729] 1 1 1 1 1 1 1 1 1 1 ...
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## .. .. .. ..@ x : num [1:77500] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 27
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## .. .. .. ..$ theta : Named num [1:5] -4.7658 3.3332 0.0218 -0.0365 -0.1084
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:55729] -10.32 -5.27 61.34 66.02 -21.16 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.32 -5.27 61.34 66.02 -21.16 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ x : num [1:135020] 0.0704 0.0346 0.0171 0.0131 0.0417 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ x : num [1:135020] 191.1 233.1 80.4 201.5 25.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ x : num [1:116273] 0.0704 0.0346 0.0148 0.0131 0.0162 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
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## .. .. .. ..$ log.posterior.orig: num -2.85
## .. .. .. ..$ mean : num [1:55729] -10.29 -5.24 61.37 66.05 -21.12 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.29 -5.24 61.37 66.05 -21.12 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ x : num [1:135020] 185.4 226.2 78.5 195.9 25.1 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
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## .. .. .. ..$ mean : num [1:55729] -10.4 -5.3 61.3 66 -21.2 ...
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## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ x : num [1:135020] 197.9 241.4 82.7 208.1 26.3 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.36
## .. .. .. ..$ log.posterior.orig: num -3.1
## .. .. .. ..$ mean : num [1:55729] -10.6 -5.45 58.34 62.68 -20.47 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.6 -5.45 58.34 62.68 -20.47 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 197.1 240.2 73.7 181.2 24.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0684 0.0336 0.0164 0.0145 0.018 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04958 -0.0234 0.03064 -0.00788 -0.02379 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94 94.5 96.2 15.4 18.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.45 -10.6 -5.45 58.34 62.68 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7658 3.3334 0.0218 -0.0205 -0.1162
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.39
## .. .. .. ..$ log.posterior.orig: num -3.12
## .. .. .. ..$ mean : num [1:55729] -9.94 -4.99 64.55 69.65 -21.69 ...
## .. .. .. ..$ improved.mean : num [1:55729] -9.94 -4.99 64.55 69.65 -21.69 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0726 0.0357 0.0156 0.0118 0.0401 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 185.2 226.2 87.6 224 26.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0726 0.0357 0.0133 0.0118 0.0146 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.03612 -0.03016 0.04594 -0.00786 -0.02878 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.5 95.3 94.4 15.4 19.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.58 -9.94 -4.99 64.55 69.65 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7893 3.307 0.0287 -0.0365 -0.109
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.29
## .. .. .. ..$ log.posterior.orig: num -3.02
## .. .. .. ..$ mean : num [1:55729] -10.15 -5.14 61.34 65.91 -20.94 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.15 -5.14 61.34 65.91 -20.94 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0748 0.0368 0.0179 0.0138 0.0421 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 180.9 220.4 78.5 192.4 25.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0748 0.0368 0.0157 0.0138 0.0172 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04297 -0.02497 0.03886 -0.00863 -0.02595 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.6 94.7 95.1 15.5 19.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.55 -10.15 -5.14 61.34 65.91 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7438 3.3578 0.0154 -0.0366 -0.1078
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.15
## .. .. .. ..$ log.posterior.orig: num -2.88
## .. .. .. ..$ mean : num [1:55729] -10.47 -5.38 61.33 66.11 -21.36 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.47 -5.38 61.33 66.11 -21.36 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0666 0.0328 0.0164 0.0124 0.0414 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 201.2 245.6 82.2 210.5 25.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0666 0.0328 0.014 0.0124 0.0154 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04291 -0.02843 0.0375 -0.00702 -0.02656 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.8 95 95.5 15.3 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.61 -10.47 -5.38 61.33 66.11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.762 3.3131 -0.0419 -0.0355 -0.1066
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.18
## .. .. .. ..$ log.posterior.orig: num -0.91
## .. .. .. ..$ mean : num [1:55729] -10.35 -5.36 61.3 65.78 -21.2 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.35 -5.36 61.3 65.78 -21.2 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0688 0.0339 0.0168 0.0128 0.0415 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 192.5 234 81.3 204.8 25.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0688 0.0339 0.0144 0.0128 0.0159 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04339 -0.02659 0.03857 -0.00758 -0.02636 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.7 94.8 95.3 15.4 19.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.57 -10.35 -5.36 61.3 65.78 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7838 3.4281 0.3216 -0.0412 -0.1171
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9.33
## .. .. .. ..$ log.posterior.orig: num -6.06
## .. .. .. ..$ mean : num [1:55729] -10.07 -4.81 61.44 66.73 -20.96 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.07 -4.81 61.44 66.73 -20.96 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0786 0.0386 0.0188 0.0146 0.0432 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 181.7 224.2 76.4 185.9 25.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0786 0.0386 0.0165 0.0146 0.0181 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04135 -0.02697 0.03685 -0.00898 -0.02587 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.8 95 95.4 15.6 19.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.67 -10.07 -4.81 61.44 66.73 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7667 3.331 0.0316 0.0838 0.1408
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.7
## .. .. .. ..$ log.posterior.orig: num -1.43
## .. .. .. ..$ mean : num [1:55729] -10.32 -5.36 61.03 66.06 -20.94 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.32 -5.36 61.03 66.06 -20.94 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.071 0.0349 0.0176 0.0135 0.0423 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 185 223.8 78.6 197 25.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.071 0.0349 0.0153 0.0135 0.0168 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04323 -0.02689 0.03612 -0.00794 -0.0258 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.7 94.9 95.5 15.4 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.49 -10.32 -5.36 61.03 66.06 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.765 3.3352 0.0131 -0.144 -0.331
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.99
## .. .. .. ..$ log.posterior.orig: num -4.73
## .. .. .. ..$ mean : num [1:55729] -10.26 -5.21 60.81 64.04 -21.24 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.26 -5.21 60.81 64.04 -21.24 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.07 0.0344 0.0168 0.0129 0.0414 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 195.2 239.6 81 199.5 25.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.07 0.0344 0.0145 0.0129 0.0159 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04735 -0.02234 0.04349 -0.00806 -0.02689 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.4 94.7 15.4 19.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.62 -10.26 -5.21 60.81 64.04 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.77289 3.39261 0.1547 0.02232 -0.00392
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.05
## .. .. .. ..$ log.posterior.orig: num -2.78
## .. .. .. ..$ mean : num [1:55729] -10.18 -5.07 62.67 68.11 -21.36 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.18 -5.07 62.67 68.11 -21.36 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0722 0.0355 0.0168 0.0128 0.0412 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 189.9 232.6 82.7 209 26.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0722 0.0355 0.0144 0.0128 0.0159 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.03858 -0.02935 0.03896 -0.00789 -0.02685 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.2 95.2 95.2 15.4 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.63 -10.18 -5.07 62.67 68.11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7624 3.343 -0.0161 -0.077 -0.2102
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.51
## .. .. .. ..$ log.posterior.orig: num -2.24
## .. .. .. ..$ mean : num [1:55729] -10.23 -5.22 62.61 66.94 -21.59 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.23 -5.22 62.61 66.94 -21.59 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0676 0.0332 0.0156 0.0118 0.0402 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 198.6 242.9 86.3 220.3 26.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0676 0.0332 0.0133 0.0118 0.0146 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04088 -0.02755 0.04279 -0.00726 -0.02755 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95 95 94.8 15.3 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.62 -10.23 -5.22 62.61 66.94 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7924 3.3717 0.1524 -0.0795 -0.2154
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.32
## .. .. .. ..$ log.posterior.orig: num -2.05
## .. .. .. ..$ mean : num [1:55729] -9.98 -4.88 62.78 67.57 -21.31 ...
## .. .. .. ..$ improved.mean : num [1:55729] -9.98 -4.88 62.78 67.57 -21.31 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0755 0.0371 0.0171 0.0131 0.0411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 184.7 227.2 82.4 203.4 26.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0755 0.0371 0.0148 0.0131 0.0162 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.03958 -0.02657 0.0422 -0.00856 -0.02703 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95 94.9 94.7 15.5 19.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.64 -9.98 -4.88 62.78 67.57 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.78345 3.31845 -0.00192 0.02489 0.00029
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.69
## .. .. .. ..$ log.posterior.orig: num -2.42
## .. .. .. ..$ mean : num [1:55729] -10.14 -5.21 62.65 67.65 -21.27 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.14 -5.21 62.65 67.65 -21.27 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0716 0.0352 0.0166 0.0126 0.0408 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 184.8 224.4 83.4 210 26.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0716 0.0352 0.0143 0.0126 0.0157 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.03943 -0.02772 0.04029 -0.00794 -0.02679 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.1 95 95 15.4 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.55 -10.14 -5.21 62.65 67.65 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7721 3.3942 0.1465 -0.0939 -0.208
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.34
## .. .. .. ..$ log.posterior.orig: num -1.07
## .. .. .. ..$ mean : num [1:55729] -10.43 -5.19 60.01 64.56 -20.94 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.43 -5.19 60.01 64.56 -20.94 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0698 0.0343 0.0178 0.0137 0.0423 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 199.3 245.1 77.8 192.6 25.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0698 0.0343 0.0154 0.0137 0.017 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04542 -0.02518 0.03483 -0.00789 -0.02509 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.4 94.7 95.7 15.4 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.61 -10.43 -5.19 60.01 64.56 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7631 3.34097 -0.00783 0.01049 0.00774
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.73
## .. .. .. ..$ log.posterior.orig: num -2.46
## .. .. .. ..$ mean : num [1:55729] -10.6 -5.5 59.9 64.6 -20.9 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.6 -5.5 59.9 64.6 -20.9 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0662 0.0326 0.0173 0.0132 0.042 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 199.3 241.8 78.8 198.8 25.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0662 0.0326 0.0149 0.0132 0.0164 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04546 -0.02618 0.03297 -0.00723 -0.02484 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.5 94.8 95.9 15.3 19 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.5 -10.6 -5.5 59.9 64.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.79317 3.36968 0.1607 0.00799 0.00249
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.03
## .. .. .. ..$ log.posterior.orig: num -3.76
## .. .. .. ..$ mean : num [1:55729] -10.3 -5.14 59.91 64.89 -20.59 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.3 -5.14 59.91 64.89 -20.59 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.074 0.0364 0.0189 0.0147 0.0431 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 186 228 75 183 25 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.074 0.0364 0.0167 0.0147 0.0183 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04456 -0.02482 0.03286 -0.00859 -0.02436 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.4 94.7 95.8 15.5 19 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.52 -10.3 -5.14 59.91 64.89 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7827 3.3201 -0.0101 -0.0913 -0.2038
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.01
## .. .. .. ..$ log.posterior.orig: num -2.74
## .. .. .. ..$ mean : num [1:55729] -10.4 -5.33 59.84 63.79 -20.87 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.4 -5.33 59.84 63.79 -20.87 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0693 0.0341 0.0176 0.0136 0.0419 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 194.8 237.7 78.3 192.5 25.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0693 0.0341 0.0153 0.0136 0.0168 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04683 -0.02304 0.0366 -0.00798 -0.02506 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.2 94.5 95.4 15.4 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.55 -10.4 -5.33 59.84 63.79 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7564 3.3817 0.1514 -0.0795 -0.2152
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.7
## .. .. .. ..$ log.posterior.orig: num -1.43
## .. .. .. ..$ mean : num [1:55729] -10.09 -4.96 62.81 67.69 -21.46 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.09 -4.96 62.81 67.69 -21.46 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0739 0.0363 0.0168 0.0128 0.0416 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 188.1 231.6 82.1 206.1 25.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0739 0.0363 0.0145 0.0128 0.0159 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04019 -0.02845 0.04263 -0.00819 -0.02784 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.1 95 94.8 15.4 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.67 -10.09 -4.96 62.81 67.69 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.747385 3.328401 -0.002896 0.024942 0.000519
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.94
## .. .. .. ..$ log.posterior.orig: num -2.67
## .. .. .. ..$ mean : num [1:55729] -10.25 -5.28 62.67 67.77 -21.43 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.25 -5.28 62.67 67.77 -21.43 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0701 0.0345 0.0164 0.0124 0.0414 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 188.3 228.7 83.2 212.8 25.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0701 0.0345 0.014 0.0124 0.0154 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0401 -0.02958 0.04071 -0.00753 -0.02757 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.2 95.1 95.1 15.4 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.57 -10.25 -5.28 62.67 67.77 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.77745 3.35711 0.16563 0.02244 -0.00473
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.27
## .. .. .. ..$ log.posterior.orig: num -4
## .. .. .. ..$ mean : num [1:55729] -9.99 -4.93 62.72 68.05 -21.15 ...
## .. .. .. ..$ improved.mean : num [1:55729] -9.99 -4.93 62.72 68.05 -21.15 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0784 0.0385 0.0179 0.0138 0.0424 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 175.9 215.2 79.3 195.5 25.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0784 0.0385 0.0156 0.0138 0.0172 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.03928 -0.02817 0.04039 -0.00885 -0.02704 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 95.1 95.1 95 15.5 19.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.6 -9.99 -4.93 62.72 68.05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7669 3.3075 -0.0052 -0.0769 -0.211
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.22
## .. .. .. ..$ log.posterior.orig: num -2.95
## .. .. .. ..$ mean : num [1:55729] -10.1 -5.1 62.6 66.9 -21.4 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.1 -5.1 62.6 66.9 -21.4 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0734 0.0361 0.0167 0.0127 0.0412 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 183.9 224.8 82.6 205.9 25.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0734 0.0361 0.0144 0.0127 0.0158 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04176 -0.02618 0.0444 -0.00828 -0.02777 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.9 94.8 94.6 15.5 19.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.6 -10.1 -5.1 62.6 66.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7571 3.37963 0.15972 0.00805 0.00272
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.78
## .. .. .. ..$ log.posterior.orig: num -3.51
## .. .. .. ..$ mean : num [1:55729] -10.42 -5.23 59.94 65 -20.74 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.42 -5.23 59.94 65 -20.74 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0725 0.0356 0.0187 0.0144 0.0437 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 189.7 232.1 74.8 185 24.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0725 0.0356 0.0163 0.0144 0.018 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04543 -0.02656 0.03305 -0.00821 -0.02508 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.5 94.8 95.9 15.4 19 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.54 -10.42 -5.23 59.94 65 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7466 3.33 -0.0111 -0.0913 -0.2035
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.88
## .. .. .. ..$ log.posterior.orig: num -2.61
## .. .. .. ..$ mean : num [1:55729] -10.51 -5.41 59.88 63.91 -21.03 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.51 -5.41 59.88 63.91 -21.03 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0678 0.0334 0.0174 0.0133 0.0425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 198.4 242.4 78.1 195.1 25.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0678 0.0334 0.015 0.0133 0.0165 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04762 -0.02487 0.03676 -0.00755 -0.02578 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.3 94.6 95.5 15.4 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.58 -10.51 -5.41 59.88 63.91 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.7767 3.3587 0.1574 -0.0938 -0.2088
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.82
## .. .. .. ..$ log.posterior.orig: num -2.55
## .. .. .. ..$ mean : num [1:55729] -10.24 -5.05 60.03 64.5 -20.73 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.24 -5.05 60.03 64.5 -20.73 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0758 0.0373 0.019 0.0148 0.0436 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 184.5 226.7 74.4 180.1 24.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0758 0.0373 0.0167 0.0148 0.0184 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04625 -0.02388 0.03638 -0.00888 -0.02529 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.3 94.6 95.5 15.5 19.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.58 -10.24 -5.05 60.03 64.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.76767 3.30548 0.0031 0.01062 0.00693
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.92
## .. .. .. ..$ log.posterior.orig: num -2.66
## .. .. .. ..$ mean : num [1:55729] -10.39 -5.37 59.9 64.55 -20.68 ...
## .. .. .. ..$ improved.mean : num [1:55729] -10.39 -5.37 59.9 64.55 -20.68 ...
## .. .. .. ..$ skewness : logi [1:55729] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 0.0719 0.0354 0.0185 0.0143 0.0432 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:135020] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:135020] 184.6 223.9 75.4 185.9 24.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116273] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55729 55729
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116273] 0.0719 0.0354 0.0162 0.0143 0.0178 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.04621 -0.02494 0.03447 -0.00827 -0.02505 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 94.3 94.7 95.7 15.5 19 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55729, 1:2] 32.48 -10.39 -5.37 59.9 64.55 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -104770
## ..$ nfunc : num 327
## ..$ warnings : chr(0)
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:46] 28502060 28501678 28496679 10737942 10737889 ...
## .. .. ..- attr(*, "names")= chr [1:46] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ nfunc: Named int [1:46] 1 4 5 7 8 9 14 15 18 20 ...
## .. .. ..- attr(*, "names")= chr [1:46] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:46, 1:5] 4 4 4 3 3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:46] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:5] "theta1" "theta2" "theta3" "theta4" ...
## ..$ theta.mode : num [1:5] -4.7658 3.3332 0.0218 -0.0365 -0.1084
## ..$ linkfunctions :List of 2
## .. ..$ names: chr "identity"
## .. ..$ link : int [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ family : int [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## $ dic :List of 14
## ..$ dic : num 202687
## ..$ p.eff : num 6148
## ..$ mean.deviance : num 196540
## ..$ deviance.mean : num 190392
## ..$ dic.sat : num 31976
## ..$ mean.deviance.sat: num 25828
## ..$ deviance.mean.sat: num 19710
## ..$ family.dic : num 202687
## ..$ family.dic.sat : num 31945
## ..$ family.p.eff : num 6148
## ..$ family : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ local.dic : num [1:25842] 7.39 7.24 7.49 6.98 7.2 ...
## ..$ local.dic.sat : num [1:25842] 0.777 0.627 0.875 0.376 0.594 ...
## ..$ local.p.eff : num [1:25842] 0.286 0.278 0.358 0.186 0.258 ...
## $ mode :List of 5
## ..$ theta : Named num [1:5] -4.7658 3.3332 0.0218 -0.0365 -0.1084
## .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ x : num [1:137300] 94.7 94.9 95.3 15.4 19.2 ...
## ..$ theta.tags : chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -104770
## $ joint.hyper :'data.frame': 26 obs. of 7 variables:
## ..$ Log precision for the Gaussian observations : num [1:26] -4.77 -4.75 -4.78 -4.77 -4.77 ...
## ..$ Theta1 for field : num [1:26] 3.33 3.32 3.35 3.33 3.33 ...
## ..$ Theta2 for field : num [1:26] 0.0218 0.027 0.0159 0.0219 0.0218 ...
## ..$ Theta3 for field : num [1:26] -0.0365 -0.0364 -0.0366 -0.0526 -0.0205 ...
## ..$ Theta4 for field : num [1:26] -0.108 -0.109 -0.108 -0.101 -0.116 ...
## ..$ Log posterior density : num [1:26] -104788 -104791 -104792 -104792 -104792 ...
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## .. ..$ BRU.E : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
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## .. ..$ Intercept : num [1:55729] 1 NA NA NA NA NA NA NA NA NA ...
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## .. ..$ Intercept.repl : int [1:55729] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:55729] NA 1 2 3 4 5 6 7 8 9 ...
## .. ..$ field.group : int [1:55729] NA 1 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:55729] NA 1 1 1 1 1 1 1 1 1 ...
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## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
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## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
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## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
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## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
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## addinfo: FALSE
## clear_initial_info: function ()
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## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
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## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
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## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
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## initial_edges_added: NULL
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## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
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## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
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## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
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## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
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## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
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## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ short.name : chr "b18"
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## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ short.name : chr "b19"
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## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
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## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
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## .. .. ..$ theta28 :List of 11
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## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
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## .. .. ..$ theta29 :List of 11
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## .. .. .. ..$ name : chr "beta29"
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## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta52 :List of 11
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## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta54 :List of 11
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## .. .. .. ..$ name : chr "beta54"
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## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta56 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta58 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta59 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta60 :List of 11
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## .. .. .. ..$ name : chr "beta60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta61 :List of 11
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## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
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## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta64 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
## .. .. .. ..$ hyperid : num 103065
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
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## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta69 :List of 11
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## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta70 :List of 11
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## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta71 :List of 11
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## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
## .. .. .. ..$ hyperid : num 103082
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta90 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[96] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[96] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b97"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[97] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[97] for lp_scale"
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## .. .. ..$ theta98 :List of 11
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## .. .. .. ..$ short.name : chr "b98"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[98] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[98] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta99 :List of 11
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## .. .. .. ..$ name : chr "beta99"
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## .. .. .. ..$ short.name : chr "b99"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[99] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[99] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. [list output truncated]
## .. ..- attr(*, "class")= chr [1:2] "ctrl_lp_scale" "inla_ctrl_object"
## ..$ control.pardiso :List of 4
## .. ..$ verbose : logi FALSE
## .. ..$ debug : logi FALSE
## .. ..$ parallel.reordering: logi TRUE
## .. ..$ nrhs : num -1
## .. ..- attr(*, "class")= chr [1:2] "ctrl_pardiso" "inla_ctrl_object"
## ..$ only.hyperparam : logi FALSE
## ..$ inla.call : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/inla.mkl.run"
## ..$ num.threads : chr "24:1"
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## .. .. .. ..$ env_extra :<environment: 0x5caa7b031f30>
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## .. .. .. .. .. .. .. ..$ main : logi TRUE
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## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
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## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
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## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 13932
## .. .. .. .. ..$ values : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5caa8ae98b80>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.34 0.045 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
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## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
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## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
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## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
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## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 55728
## .. .. .. .. .. .. ..$ n_inla : num 55728
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 55728 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 55728
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5caa7dbbb380>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:2] "Intercept" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 3.299318 mins## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.882, Running = 72.3, Post = 3.23, Total = 76.4
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 32.579 0.696 31.216 32.578 33.949 32.578 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.008 0.000 0.008 0.009
## Theta1 for field 3.349 0.022 3.314 3.347
## Theta2 for field 0.098 0.080 -0.016 0.086
## Theta3 for field -0.032 0.047 -0.122 -0.033
## Theta4 for field -0.100 0.096 -0.284 -0.101
## 0.975quant mode
## Precision for the Gaussian observations 0.009 0.009
## Theta1 for field 3.400 3.335
## Theta2 for field 0.284 0.028
## Theta3 for field 0.062 -0.036
## Theta4 for field 0.094 -0.108
##
## Deviance Information Criterion (DIC) ...............: 202687.46
## Deviance Information Criterion (DIC, saturated) ....: 31975.53
## Effective number of parameters .....................: 6147.88
##
## Watanabe-Akaike information criterion (WAIC) ...: 203105.86
## Effective number of parameters .................: 5393.97
##
## Marginal log-Likelihood: -104783.84
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 3.3493700 0.0224220 3.3140400 3.3470100 3.4003900 3.3346100
## Theta2.matern 0.0977942 0.0797945 -0.0161301 0.0863962 0.2844360 0.0279395
## Theta3.matern -0.0324010 0.0467774 -0.1223690 -0.0331112 0.0617858 -0.0361665
## Theta4.matern -0.0997930 0.0960062 -0.2843550 -0.1012790 0.0936005 -0.10767801.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000The code of chunk below was executed only one time.
{r}
load(here("Models_output/distmatrixfixed_19May24.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
save(GROUPS, file = here("Models_output/GROUPS_19May24.RData"))The code of chunk above was executed only one time.
load(here("Models_output/GROUPS_19May24_corrected.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10
## [1] 11
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)